公开(公告)号：US20240354322A1

公开(公告)日：2024-10-24

申请号：US18632900

申请日：2024-04-11

Applicant: Palantir Technologies Inc.

Inventor： Anirvan Mukherjee ,  Craig De Souza ,  Edgar Gomes de Araujo ,  Johannes Beil ,  Jessica Winssinger ,  Michael Zullo ,  Rushad Heerjee ,  Shubhankar Sachdev

IPC: G06F16/33 ,  G06F18/2415

CPC classification number: G06F16/3344 ,  G06F18/2415

Abstract: Computer-implemented systems and methods are disclosed, including systems and methods utilizing language models for generating data objects and/or updating an ontology. A computer-implemented method may include: employing one or more large language models (“LLMs”) to generate at least a data triple and a classified triple; executing, using the classified triple, a similarity search with reference to an ontology to determine that the classified triple at least partially matches one or more data object types defined in the ontology; in response to the determination, adding into a first database at least a first data object of a first data object type that represents a first entity in the data triple and a second data object of a second data object type that represents a second entity in the data triple.

公开(公告)号：US12299022B2

公开(公告)日：2025-05-13

申请号：US18632900

申请日：2024-04-11

Applicant: Palantir Technologies Inc.

Inventor： Anirvan Mukherjee ,  Craig De Souza ,  Edgar Gomes de Araujo ,  Johannes Beil ,  Jessica Winssinger ,  Michael Zullo ,  Rushad Heerjee ,  Shubhankar Sachdev

IPC: G06F16/00 ,  G06F16/334 ,  G06F18/2415 ,  G06N3/0895

Abstract: Computer-implemented systems and methods are disclosed, including systems and methods utilizing language models for generating data objects and/or updating an ontology. A computer-implemented method may include: employing one or more large language models (“LLMs”) to generate at least a data triple and a classified triple; executing, using the classified triple, a similarity search with reference to an ontology to determine that the classified triple at least partially matches one or more data object types defined in the ontology; in response to the determination, adding into a first database at least a first data object of a first data object type that represents a first entity in the data triple and a second data object of a second data object type that represents a second entity in the data triple.

公开(公告)号：US20240354646A1

公开(公告)日：2024-10-24

申请号：US18639394

申请日：2024-04-18

Applicant: Palantir Technologies Inc.

Inventor： Alexander Edwards ,  Anirvan Mukherjee ,  David Kebudi ,  Megha Arora ,  Sriram Krishnan ,  Max-Philipp Schrader ,  Jessica Winssinger ,  Philipp Hoefer

IPC: G06N20/00

CPC classification number: G06N20/00

Abstract: Disclosed herein is a method of providing feedback to a machine learning model. The method includes allowing a user to observe an output of a trained machine learning model; allowing the user to input feedback to the machine learning model based on the output, wherein the feedback is on at least one of a model level or on a training dataset level; and incorporating the feedback into the machine learning model to improve the machine learning model, wherein the method is performed using one or more processors. Disclosed herein are one or more computer-readable storage media including computer executable instructions which when executed by the one or more processors cause the one or more processors to perform the method. Disclosed herein is a computer system which includes one or more processors and one or more computer-readable storage media which include computer executable instructions which when executed by the one or more processors cause the one or more processors to perform the method.

公开(公告)号：US20240354584A1

公开(公告)日：2024-10-24

申请号：US18632958

申请日：2024-04-11

Applicant: Palantir Technologies Inc.

Inventor： Anirvan Mukherjee ,  Craig De Souza ,  Edgar Gomes de Araujo ,  Johannes Beil ,  Jessica Winssinger ,  Michael Zullo ,  Rushad Heerjee ,  Shubhankar Sachdev

IPC: G06N3/0895

CPC classification number: G06N3/0895

Abstract: Computer-implemented systems and methods are disclosed, including systems and methods utilizing language models for creating and/or updating an ontology. A computer-implemented method may include: receiving tabular data from one or more data sources; generating an interactive graphical representation of at least a portion of the tabular data and connections between the portion of the tabular data; providing, via a user interface, the interactive graphical representation; receiving a user operation via the user interface, updating an ontology and/or generating transformations for adding data objects into a database.

公开(公告)号：US20240354436A1

公开(公告)日：2024-10-24

申请号：US18505912

申请日：2023-11-09

Applicant: Palantir Technologies Inc.

Inventor： Anirvan Mukherjee ,  Craig De Souza ,  Edgar Gomes de Araujo ,  Johannes Beil ,  Jessica Winssinger ,  Michael Zullo ,  Rushad Heerjee ,  Shubhankar Sachdev

IPC: G06F21/62 ,  G06F16/33

CPC classification number: G06F21/6227 ,  G06F16/3344 ,  G06F16/3347

Abstract: Computer-implemented systems and methods are disclosed, including systems and methods utilizing language models for searching a large corpus of data. A computer-implemented method may include: receiving a first user input comprising a natural language query; vectorizing the first user input into a query vector; executing, using the query vector, a similarity search in a document search model to identify one or more similar document portions, where the document search model includes a plurality of vectors corresponding to a plurality of portions of a set of documents; generating a first prompt for a large language model (“LLM”), the first prompt including at least the first user input, and the one or more similar document portions; transmitting the first prompt to the LLM; receiving a first output from the LLM in response to the first prompt; and providing, via a user interface, the first output from the LLM.